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This paper proposes integrating a femtosecond laser-pumped Coherent Ising Machine (CIM) with an LLM-driven agentic system using LangGraph and LangChain, enabling automated QUBO/Ising model calibration and constraint weight iteration, all implemented with domestic large models and hardware.
Researchers used an IBM quantum computer to reduce uncertainty in an AI model, achieving the first demonstration of quantum enhancement in a pretrained large language model, allowing it to answer questions correctly where the base model failed.
The US government invested $2 billion in quantum computing startups using funds from the CHIPS and Science Act, but Congressmember Zoe Lofgren argues the investment is illegal because the money was allocated for semiconductor R&D, not quantum computing.
IBM has spun off the first dedicated quantum chip foundry, focusing solely on manufacturing quantum processors.
A recap of the Dialogues stage at Google I/O 2026, featuring discussions on AI agents, quantum computing, robotics, and creativity with Google leaders and industry experts.
The US government announced a $2 billion equity stake in nine quantum computing firms to boost domestic quantum capabilities, continuing its trend of investing in strategic technologies.
Sygaldry Technologies raised $139 million in Seed and Series A funding to develop quantum-accelerated AI servers aimed at reducing the cost and energy demands of training large AI models.
Introduces QuChaTeR, a hybrid architecture combining wavelet-based preprocessing, chaotic maps, and variational quantum circuits with recurrent structures for earthquake prediction, demonstrating faster convergence and superior accuracy over classical and quantum baselines.
Dr. Aaron Breidenbach recounts his expedition to the Atacama Desert where he discovered ultra-pure natural Herbertsmithite crystals, which are candidate materials for quantum spin liquids and have potential applications in quantum computing, and highlights both their scientific promise and the ecological threat from mining.
Researchers from the University of Innsbruck and NVIDIA developed an AI method using multimodal diffusion models to automatically generate efficient quantum circuits, significantly reducing circuit length and rediscovering textbook circuits like the Quantum Fourier Transform.
Q.ANT has opened a US facility in Austin and appointed Bruno Spruth as CTO, highlighting production of photonic GPUs at the Leibniz Supercomputing Centre that claim significant performance and energy efficiency gains over traditional transistor-based chips.
Google has launched the REPLIQA initiative, a collaboration between Google Quantum AI and Google.org, to apply quantum science and AI to life sciences. The program includes a $10 million commitment to fund research at five leading academic institutions.
This paper presents a hybrid quantum-classical pipeline using neutral-atom reservoir computing and auto-encoders for medical image classification, specifically for polyp detection. It addresses quantum measurement non-differentiability with a surrogate model to enable end-to-end training.
A new study reveals a software strategy to reduce cosmic ray-induced errors in superconducting quantum computers by nearly a half-million-fold, bringing failure rates from every 10 seconds down to less than once per month.
Poland's economy has grown to become the world's 20th largest, driven by strong institutions and EU membership, with notable advances in AI and quantum computing.
Ewin Tang developed a groundbreaking classical algorithm for recommendation systems that matched quantum performance, challenging quantum advantage assumptions. She was awarded the 2025 Maryam Mirzakhani New Frontiers Prize for her contributions to bridging classical and quantum computing.
DeepMind highlights the expanded impact of AlphaEvolve, a Gemini-powered coding agent, demonstrating its ability to optimize algorithms for genomics, grid optimization, earth sciences, quantum physics, and mathematics.
Google DeepMind highlights the broad impact of its Gemini-powered coding agent, AlphaEvolve, demonstrating significant advancements in genomics, grid optimization, earth sciences, and quantum physics research.
This paper introduces the Generative Quantum-inspired Kolmogorov-Arnold Eigensolver (GQKAE), a parameter-efficient architecture that replaces traditional neural components with Kolmogorov-Arnold modules to significantly reduce memory usage and improve convergence in quantum chemistry simulations.
MIT and IBM have launched the MIT-IBM Computing Research Lab to advance joint research in AI and quantum computing. The lab aims to redefine computational foundations and accelerate the integration of these technologies for real-world applications.